Electric Plant raises $11.2m to build AI that decodes plants' electrical signals

Startup's Bombadil model interprets the needs of 125 species, promises to boost crop yields and cut water use

By LineZotpaper
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A startup called Electric Plant has raised $11.2 million in seed funding to commercialize an AI model that interprets the subtle electrical signals plants use to communicate their needs. The company, co-founded by CEO Justin Mast and neuroscientist Lee von Kraus, has spent three years collecting data and developing Bombadil, a large language model that can translate the electrical impulses of more than 125 plant species into actionable information for growers.

The technology, born from Mast's fascination with a research paper describing a cyborg plant that could wheel itself toward light, relies on sensors attached to plant stems. The sensors, roughly the size of an iPhone, use stainless steel screws to tap into the cambium layer of a plant, reading microvolt changes as they happen. Data is sent wirelessly to a base station and processed by Bombadil in the cloud. The results are relayed to customers, who can then adjust watering, fertiliser or light schedules.

Mast claims the system can reduce water use by 20 percent or more while increasing yields. "This is tens of dollars," he said, contrasting the sensor cost with traditional equipment that runs into the thousands. "This is the most diverse model ever created on biological electrical signals," he added. "No one's ever done anything equivalent to this in the animal world."

Electric Plant's seed round was led by Onto Ventures and Climactic, with backing from more than half a dozen other investors including Ponderosa, Endeavor Catalyst and Michigan Rise. Mast said initial customers are in agriculture and forestry, though he declined to name them. The company plans to expand Bombadil's vocabulary to additional species over time.

While the concept of plant communication via electricity is established in plant physiology, Electric Plant claims its approach represents a leap forward in giving farmers continuous, real-time insight into what their crops need, rather than relying on soil probes or satellite imagery that offer an incomplete picture. "That technology is sophisticated, but its ability to get at the inside of the plant isn't very sophisticated," Mast said.

If the technology works at scale, it could offer a powerful tool for precision agriculture, especially as climate pressures mount. But the startup is still early stage, and its claims about yield and water savings have yet to be independently verified in large-scale trials.

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Analysis

Why This Matters

  • Plant-based agriculture uses vast amounts of water and fertiliser; more precise management could reduce waste and environmental impact.
  • If successful, Electric Plant's sensors and AI could give growers a real-time 'voice' from their crops, enabling rapid adjustments that boost efficiency.
  • The technology could also be applied to forestry, environmental monitoring or even home gardening.

Background

Plants generate electrical signals in response to stimuli such as light, touch or water stress. Biologists have known this for decades, but turning those signals into a reliable communication tool has remained elusive. Electric Plant's Bombadil model is trained on data from more than 125 species, using sensors that directly tap the plant's vascular tissue. The company says this direct connection is a significant improvement over indirect tools like soil moisture probes or leaf spectrometers.

Key Perspectives

Farmers and growers: They stand to benefit from potentially lower water bills, higher yields and less guesswork. But they will need to see robust, independent validation of the claims at commercial scale before adopting the technology widely. Investors and the startup: The $11.2M seed round shows strong belief in the potential. Electric Plant argues that its low-cost, high-frequency data on plant stress could revolutionise crop management. Environmental and sustainability advocates: The promise of cutting water use by 20% or more aligns with goals to reduce agriculture's environmental footprint. However, they may be cautious about unintended ecological effects or the energy cost of cloud processing.

What to Watch

  • Whether independent field trials confirm the claimed water savings and yield gains.
  • The expansion of Bombadil's species coverage beyond its current 125.
  • Adoption by major agricultural producers or forestry services.

Sources

Checked

12 claims in this story checked against 1 source: 5 supported.

Show each claim
  1. SupportedElectric Plant raised $11.2 million in seed funding to commercialize an AI model for interpreting plant signals.AI News & Artificial Intelligence | TechCrunch: “To bring its sensors and Bombadil to market, Electric Plant recently raised an $11.2 million seed round”
  2. Partly supportedBombadil interprets the needs of 125 plant species.AI News & Artificial Intelligence | TechCrunch: “Electric Plant ... used those devices to train its Bombadil model, which is capable of interpreting electrical signals in about 125 different species.”
  3. Partly supportedThe startup promises to boost crop yields and cut water use.AI News & Artificial Intelligence | TechCrunch: “Mast claims such a system can boost yields while reducing water use by 20% or more.”
  4. Partly supportedBombadil interprets signals from more than 125 plant species.AI News & Artificial Intelligence | TechCrunch: “its Bombadil model, which is capable of interpreting electrical signals in about 125 different species.”
  5. SupportedMast said, “This is tens of dollars,” referring to the sensor cost.AI News & Artificial Intelligence | TechCrunch: ““This is tens of dollars,” he said.”
  6. SupportedMast said, “This is the most diverse model ever created on biological electrical signals.”AI News & Artificial Intelligence | TechCrunch: ““This is the most diverse model ever created on biological electrical signals,” he said.”
  7. SupportedMast said, “No one's ever done anything equivalent to this in the animal world.”AI News & Artificial Intelligence | TechCrunch: ““No one’s ever done anything equivalent to this in the animal world.””
  8. SupportedMast said, “That technology is sophisticated, but its ability to get at the inside of the plant isn't very sophisticated.”AI News & Artificial Intelligence | TechCrunch: ““That technology is sophisticated, but its ability to get at the inside of the plant isn’t very sophisticated.”
  9. Not in the sourcesMast said Electric Plant’s initial customers are in agriculture and forestry.AI News & Artificial Intelligence | TechCrunch: “Mast wouldn’t disclose who Electric Plant’s initial customers are, but it’s easy to imagine applications in agriculture and forestry.”
  10. Partly supportedThe sensors are roughly the size of an iPhone.AI News & Artificial Intelligence | TechCrunch: “The sensors, about the size of a regular iPhone folded lengthwise, are attached to a plant using stainless steel screws.”
  11. Not in the sourcesThe company plans to expand Bombadil’s vocabulary to additional species over time.
  12. Not in the sourcesThe claims about yield and water savings have yet to be independently verified in large-scale trials.

Zotpaper

Written by Harper Lane on the Tech & AI desk. Claims checked by Ines Fairley, verification. Edited by Angus Burke, chief sub. Plate by Ollie Flash, picture desk.

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